Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11EE2C93271107A3B5297D2DDB3A2F71A92A78209EB460411D1FDC3AD4BE7DA4DE33126 |
|
CONTENT
ssdeep
|
768:QSky5NKUFhxqZkIvrkPlPCzdE5lc8jW4WEl47sSd4uChjcrz1UTAO/XyKq07sOy8:s+hxqZkIvrkPlPCzdE5lc8jW4WEl47sR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363bc1aed08c7a3 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
d0ccc8c2cacccc00 |
|
VISUAL
wHash
|
0064fc702034ffff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
088080024c888000,c88ccccac2c8cccc |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 8 techniques to evade detection by security scanners and make reverse engineering more difficult.